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Application of Neural Networks and multiple regression models in greenhouse climate estimation CIGR Journal
Taki, Morteza; Ajabshirchi, Yahya; Ranjbar, Seyed Faramarz; Matloobi, Mansour.
Artificial Neural Networks (ANNs) are biologically inspired computer programs designed to simulate the way in which the human brain processes information. After a comprehensive literature survey on the application of ANNs in greenhouses, this work describes the results of using ANNs to predict the roof temperature, inside air humidity, soil temperature and inside soil humidity (Tri, RHia, Tis, RHis), in a semi-solar greenhouse according to use some inside and outside parameters in the institute of renewable energy in East Azerbaijan province, Iran. For this purpose, a semi-solar greenhouse was designed and constructed for the first time in Iran. The model database selected beside on the main and important factors influence the four above variables inside...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Artificial Neural Networks; Semi-solar greenhouse; Multiple linear regression model; Iran.
Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3672
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